docstr: Tests that to apply flip twice to an image and bboxes returns the same
  image and bboxes
docstr_tok: ["Tests","that","to","apply","flip","twice","to","an","image","and","bboxes","returns","the","same","image","and","bboxes"]
code: def testIdentityAugmentation(self):
      """
      Tests that to apply flip twice to an image and bboxes returns the same
      image and bboxes
      """
      image = np.random.randint(low=0, high=255, size=(600, 800, 3))
      bboxes = np.array(
          [
              [10, 10, 26, 28, 1],
              [19, 30, 31, 33, 1],
          ]
      )
      config = [{"flip": {"prob": 1}}, {"flip": {"prob": 1}}]
  
      image_aug, bboxes_aug, aug = self._run_augment(
          config, image, bboxes
      )
      self.assertEqual(aug[0], {"flip": True})
      self.assertEqual(aug[1], {"flip": True})
  
      self.assertAllEqual(image, image_aug)
      self.assertAllEqual(bboxes, bboxes_aug)
  
file_path: luminoth/luminoth/datasets/object_detection_dataset_test.py
imports: import tensorflow
  import numpy
  from easydict import EasyDict
  from luminoth.datasets.object_detection_dataset import ObjectDetectionDataset
label_desc: Use image node_id 4 for calling the ObjectDetectionDatasetTest obj's underlying member method code with example usage: obj.testIdentityAugmentation() without return types